





from __future__ import annotations




def     A_      (	lowercase_   ,		lowercase_   ,		lowercase_	)      ->    tuple[float, list[float]]:
       _snake_case   :				List[Any]  					=    list(range(len(UpperCamelCase_	)	)	)
       _snake_case   :				Dict  					=    [v / w for v, w in zip(UpperCamelCase_   ,		UpperCamelCase_	)]
       index.sort(key=lambda lowercase_	: ratio[i]   ,		reverse=UpperCamelCase_	)

       _snake_case   :				str  					=    0
       _snake_case   :				List[str]  					=    [0] * len(UpperCamelCase_	)
       for i in index:
              if weight[i] <= capacity:
                     _snake_case   :				Optional[Any]  					=    1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     _snake_case   :				Optional[int]  					=    capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
   import doctest

   doctest.testmod()











'''simple docstring'''

from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE__     :						Tuple	=  {'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE__     :						List[str]	=  [
			    '''VAN_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''VanForImageClassification''',
			    '''VanModel''',
			    '''VanPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_van import (
						    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    VanForImageClassification,
						    VanModel,
						    VanPreTrainedModel,
						)

else:
			import sys

			SCREAMING_SNAKE_CASE__     :						Dict	=  _LazyModule(__name__, globals()['''__file__'''], _import_structure)




